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Director Data Analyst Machine Learning Jobs in Kentucky

Senior Machine Learning Engineer

Lexington, KY · Hybrid

$103K - $142K/yr

Data's at the heart of our systems, we hope it's yours too. You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis * Experience building and consuming CI/CD ...

Data's at the heart of our systems, we hope it's yours too. You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis * Experience building and consuming CI/CD ...

Senior Machine Learning Engineer

Lexington, KY · On-site

$103K - $142K/yr

Data's at the heart of our systems, we hope it's yours too. You're comfortable working with SQL and/or NoSQL, understand database design, and data analysis * Experience building and consuming CI/CD ...

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Guides students through data preprocessing, feature selection, building and comparing ... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ...

Data Analyst, BuzzBallz

Louisville, KY · Hybrid

$68K - $102K/yr

The Data Analyst, BuzzBallz leverages data and analytics to improve demand forecasting, inventory ... Exposure to AI, machine learning, or advanced analytics is preferred to help drive innovation and ...

Data Analyst, BuzzBallz

Louisville, KY · On-site

$68K - $102K/yr

Exposure to AI, machine learning, or advanced analytics is preferred to help drive innovation and ... Drive data quality and governance, ensuring accuracy, consistency, and integrity of data across ERP ...

On a daily basis, you will explore data and formulate problem statements, develop and deploy ... analyzing information provided in resumes and applications. Our use of AI does not replace human ...

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Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Kentucky? The most popular types of Data Analyst Machine Learning jobs in Kentucky are:
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What cities in Kentucky are hiring for Director Data Analyst Machine Learning jobs? Cities in Kentucky with the most Director Data Analyst Machine Learning job openings:

Machine Learning Engineer

Purple Drive Technologies

Louisville, KY • On-site

Full-time

Posted 23 days ago


Job description

Overview:
Job Title: Machine Learning Engineer
Location: Louisville, KY
Responsibilities:
  • Build, train, and deploy ML models for business use cases (classification, NLP, CV, recommendation).
  • Preprocess and analyze large datasets.
  • Collaborate with teams to integrate ML solutions into applications.
  • Monitor and improve model performance using MLOps practices.
  • Stay updated on new AI/ML techniques and tools.

Requirements:
  • Bachelor's/Master's in CS, Data Science, or related field.
  • Strong Python skills with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with data pipelines, SQL/NoSQL, and cloud platforms (AWS/GCP/Azure).
  • Knowledge of MLOps (Docker, Kubernetes, MLflow, Airflow).
  • Strong problem-solving and analytical skills.